Robust LPV controller synthesis with uncertainty modeling

被引：1
|
作者：
Roedoenyi, G. [1 ]
Gaspar, P. [1 ]
Bokor, J. [1 ]
机构：
[1] Hungarian Acad Sci, Syst & Control Lab, Comp & Automat Res Inst, H-1518 Budapest, Hungary
来源：
MED: 2009 17TH MEDITERRANEAN CONFERENCE ON CONTROL & AUTOMATION, VOLS 1-3 | 2009年
关键词：
robust LPV control; uncertainty modeling; structured uncertainty; joint identification and control; IDENTIFICATION;
D O I：
10.1109/MED.2009.5164644
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
The paper presents an iterative uncertainty modeling and robust controller synthesis method for linear parameter-varying (LPV) systems in linear fractional transformation (LFT) form. The goal of the method is to improve robust performance by exploiting modeling freedom in the structured uncertainty descriptions while ensuring model consistency with respect to measurement data. The proposed iterative algorithm consists of three steps: robust LPV controller synthesis, tuning of the uncertainty model and performing closed-loop experiments for new validation data.
引用
收藏
页码：815 / 820
页数：6
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